Seed selection for testing deep neural networks

• Main Authors: ZHI, Yuhan, XIE, Xiaofei, SHEN, Chao, SUN, Jun, ZHANG, Xiaoyu, GUAN, Xiaohong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Deep learning testing; Seed selection; Coverage; Robustness; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8120; https://ink.library.smu.edu.sg/context/sis_research/article/9123/viewcontent/3607190.pdf
• Institution: Singapore Management University

Deep learning (DL) has been applied in many applications. Meanwhile, the quality of DL systems is becoming a big concern. To evaluate the quality of DL systems, a number of DL testing techniques have been proposed. To generate test cases, a set of initial seed inputs are required. Existing testing t...